Scale-angle CWT features: application in object recognition

Romain Murenzi; Weiping Zhai; Kameswara Rao Namuduri; Lance M. Kaplan

doi:10.1117/12.366778

26 October 1999 Scale-angle CWT features: application in object recognition

Romain Murenzi, Weiping Zhai, Kameswara Rao Namuduri, Lance M. Kaplan

Proceedings Volume 3813, Wavelet Applications in Signal and Image Processing VII; (1999) https://doi.org/10.1117/12.366778
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

This paper discusses the utility of scale-angle continuous wavelet transform features for object classification. These features are used as input to two algorithms: character recognition and target recognition in FLIR images. The corresponding recognition algorithm is robust against noise and allows data reduction. A comparative study is made between two types of directional wavelets derived from the Mexican hat wavelet and the usual template matching.

Citation Download Citation

Romain Murenzi, Weiping Zhai, Kameswara Rao Namuduri, and Lance M. Kaplan "Scale-angle CWT features: application in object recognition", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366778

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